Given a document repository, search engine is very helpful to retrieve information. Currently, vertical search is a hot topic, and Google Scholar [4] is an example for academic se...
Ye Wang, Zhihua Geng, Sheng Huang, Xiaoling Wang, ...
With the growing use of dynamic web content generated from relational databases, traditional caching solutions for throughput and latency improvements are ineffective. We describe...
Search engines largely rely on Web robots to collect information from the Web. Due to the unregulated open-access nature of the Web, robot activities are extremely diverse. Such c...
This paper presents SRing, a structured non DHT P2P overlay that efficiently supports exact and range queries on multiple attribute values. In SRing, all attribute values are inte...
We describe a query-driven indexing framework for scalable text retrieval over structured P2P networks. To cope with the bandwidth consumption problem that has been identified as ...
Gleb Skobeltsyn, Toan Luu, Karl Aberer, Martin Raj...
We present a method for acquiring ontological knowledge using search query logs. We first use query logs to identify important contexts associated with terms belonging to a semant...
This paper reports a safe regression test selection (RTS) approach that is designed for verifying Web services in an end-to-end manner. The Safe RTS technique has been integrated ...
We address the problem of extracting semantics of tags ? short, unstructured text-labels assigned to resources on the Web ? based on each tag's metadata patterns. In particul...
In a new model for answer retrieval, document collections are distilled offline into large repositories of facts. Each fact constitutes a potential direct answer to questions seek...
As part of a large effort to acquire large repositories of facts from unstructured text on the Web, a seed-based framework for textual information extraction allows for weakly sup...